Search for dissertations about: "Communication efficient learning"
Showing result 11 - 15 of 90 swedish dissertations containing the words Communication efficient learning.
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11. Data Driven AI Assisted Green Network Design and Management
Abstract : The energy consumption of mobile networks is increasing due to an increase in traffic demands and the number of connected users to the network. To assure the sustainability of mobile networks, energy efficiency must be a key design pillar of the next generations of mobile networks. READ MORE
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12. Coordination and Self-Adaptive Communication Primitives for Low-Power Wireless Networks
Abstract : The Internet of Things (IoT) is a recent trend where objects are augmented with computing and communication capabilities, often via low-power wireless radios. The Internet of Things is an enabler for a connected and more sustainable modern society: smart grids are deployed to improve energy production and consumption, wireless monitoring systems allow smart factories to detect faults early and reduce waste, while connected vehicles coordinate on the road to ensure our safety and save fuel. READ MORE
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13. Competitive Learning in Robust Communication
Abstract : A modern communication system should be accurate, reliable, robust and make efficient use of the available channel. Vector quantization is beginning to prove its effectiveness for source coding in applications such as cellular mobile telephony. The design of vector quantizers is typically done by clustering methods. READ MORE
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14. Communication-Computation Efficient Federated Learning over Wireless Networks
Abstract : With the introduction of the Internet of Things (IoT) and 5G cellular networks, edge computing will substantially alleviate the quality of service shortcomings of cloud computing. With the advancements in edge computing, machine learning (ML) has performed a significant role in analyzing the data produced by IoT devices. READ MORE
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15. ChannelComp : A general framework for computing by digital communication
Abstract : The imminent Internet of Things, fueled by 6G networks and machine learning technologies, is set to shift wireless communication to machine-centric paradigms, revolutionizing sectors such as healthcare or industrial automation through efficient data handling. However, this connectivity boom poses challenges, including straining existing communication systems due to increased data traffic and computational demands. READ MORE